Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems

Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems

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Article ID: iaor20174351
Volume: 78
Issue: 9
Start Page Number: 1662
End Page Number: 1673
Publication Date: Sep 2017
Journal: Automation and Remote Control
Authors:
Keywords: datamining, decision
Abstract:

We show a method for approximating a discriminant function with a cylindrical surface in classification and image recognition problems by sequential approximations to the zero of the discriminant function (cylinder’s directrix) with weighted least squares. This approach improves the efficiency of decision rules. We show characteristic examples.

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